Data Quality Systems Intern Jobs

Data Quality Systems Intern Description - Before applying please note that, to be eligible for this position, you must be currently enrolled at a university in Spain , remain enrolled until the end of the internship, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027 and continue participating in the program until June–July 2027 . Data Quality Systems Intern HP’s Take Back organization supports the responsible collection, recovery, and recycling of products at the end of their useful life. Reliable product data is essential to this mission, enabling accurate regulatory reporting, effective operational decisions, and strong collaboration with internal teams and external partners. We are looking for a motivated student to join our team and help improve the quality, completeness, and consistency of product information across our databases. The intern will contribute to validating master data, identifying gaps or discrepancies, supporting corrective actions with stakeholders, and exploring automated solutions that make data checks more efficient and scalable. This internship offers the opportunity to combine analytical thinking, technology, and sustainability in an international environment. The successful candidate will gain practical experience with data collection processes, databases, and automation while helping the Take Back organization strengthen data reliability and audit rea

Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. What You'll Do Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe’s GTM Planning and Central Operations team partners with Sales leadership, Finance, Product, Regional Sales Strategy and Operations, and Data Engineering to build the operational processes, tools, policies, and data required to bring our GTM strategy to life. We bring expertise, rigorous thinking, and a user-first approach to problem-solving. We transform, improve, and support Stripe’s global business processes to drive critical initiatives and other cross-functional priorities throughout the sales planning cycle. What you’ll do Build and lead a team of full-time employees and outsourced Sales Operations experts focused on improving our customer data. You will partner with GTM leadership to understand data gaps and address them through processes, policies, and workflows. Responsibilities Apply systems thinking and continuous improvement to the mechanisms owned by the team. Develop a data quality roadmap to address customer data challenges. Align on priorities with leadership, Data Engineering, and Systems teams. Influence the implementation and adoption of systems and tools by working closely with internal systems teams. Create an outsourcing strategy for ongoing data cleanup. Manage contractors as part of the outsourcing strategy to scale data quality initiatives, reporting, processes, and analytics. Define and measure success metrics. Develop dashboards that highlight progress against the identified metrics. Communicate progress

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Enterprise Platform team builds the systems that help our GTM teams bring OpenAI products to customers at scale. This role sits close to our emerging ads business, partnering with Ads Sales, Operations, Product, Finance, Legal, and Engineering to create reliable workflows for advertiser lifecycle, campaign readiness, approvals, and revenue operations. About the role Our GTM team helps customers understand the transformational potential of OpenAI’s models, and our internal systems should make that work faster, cleaner, and more intelligent. We’re looking for a Salesforce Ads Systems Engineer to design and build the Salesforce foundation for our ads business. You’ll partner with Ads Sales, Ads Operations, Product, Finance, Legal, and data teams to turn complex advertiser and campaign workflows into scalable, auditable systems. This is an execution-heavy, builder role. The primary charter of this role is ads GTM systems: advertiser account and opportunity workflows, campaign/order readiness, approvals, integrations, and automation that keep ads motions moving cleanly from pipeline through launch, billing, measurement, and reporting. In this role, you'll: Build Salesforce solutions for ads GTM : Develop user experiences, objects, automations, and guardrails that help Ads Sales and Operations manage advertisers, opportunities, insertion orders, campaign readiness, approvals, and launch handoffs with high data quality. Engineer integrations across the ads stack : Connect Salesforce with ads platforms, product catalogs, pricing/rate-card systems, data warehouses, billing tools, measurement workflows, CLM, and e-signature systems so advertiser and campaign data stays accurate and audit

Position Overview We are seeking a Senior Manager, Marketing Operations to own the systems, workflows, documentation, and automation needed to make Marketing Operations more scalable, reliable, and AI-enabled. This role will help modernize how Marketing Ops works by improving marketing systems governance, reducing process and technical debt, and identifying practical opportunities to simplify or automate manual GTM workflows. The ideal candidate brings deep hands-on experience with marketing automation, data quality, workflow design, and cross functional GTM operations. They should be comfortable working across Marketing, Sales, Sales Ops, Web, and internal systems/data teams to improve how GTM work gets done. This includes clarifying ownership, improving documentation, reducing manual work, and building more scalable systems and workflows. Key Responsibilities Own governance, documentation, and operational health for core marketing systems, including Marketo and adjacent GTM tools. Identify and reduce technical debt across marketing-owned systems, integrations, workflows, field/process governance, and recurring operational processes. Build and manage a Marketing Ops systems and automation roadmap focused on improving speed, quality, consistency, and team capacity. Establish clear operating standards for marketing systems and workflow requests, including intake, prioritization, documentation, ownership, escalation paths, and change management. Partner across Marketing, Sales, Sales Ops, Web, and internal systems/data teams to clarify ownership, requirements, and handoffs for shared GTM workflows, including enrichment, routing, lifecycle processes, data quality, and CRM handoffs. Triage systems and workflow issues, identify root causes, and coordinate resolution with the right owners. Identify high-friction manual workflows that can be simplified, a

Role Overview: Join the in-business portfolio management team within the Credit Financing business. This role is designed for a professional with a strategic mindset towards data. You will be a central stakeholder in the portfolio's data lifecycle, responsible for supporting data integrity, data strategy, and execution of data-centric projects. Work Profile Specifics: The role will support the strategy, maintenance, execution, governance of data across the portfolio. Key responsibilities include: Portfolio Data Strategy & Integrity: Act as the primary steward across data supporting the portfolio. Design and implement strategies for data modeling, storage, and hygiene across our suite of applications Data Maintenance and Quality: Spearhead the assimilation of complex financial data (e.g., Borrowing Bases) into internal systems. Develop, support and manage processes for seamless data ingestion, validation, and reporting Client & Stakeholder Data Engagement: Proactively interface with clients, originations, and underwriting teams to resolve data quality issues, ensuring the accuracy and integrity of information from its source Risk Management through Data: Leverage portfolio data to proactively assist in managing Credit Risk. Support broader portfolio management team in monitoring key credit quality indicators and initiate remediation actions based on data-driven insights Automate & Optimize Reporting: Support automation of portfolio management reporting, including borrowing base monitoring, valuation, and covenant checks. Identify and implement opportunities to enhance control frameworks and improve operational efficiency through technology Strategic Technology Initiatives: Collaborate with cross-functional technology partners to design, develop, and execute strategic initiatives that enhance data infrastructure and sup

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Employee Lifecycle Analyst is a critical member of Ramp's People Operations team, responsible for the data workflows that power every employee's experience at Ramp. You'll be a trusted operational partner to our Comp, Finance, and HR teams, bringing structure and precision to cross-functional processes while building the documentation and systems that scale with the business. This is a role for someone who loves getting into the details, takes real pride in accuracy, and is excited to build — not just maintain — the processes that support every employee at Ramp. What You'll Do ~60%: Data Management Own end-to-end employee data changes in our HRIS and connected systems including internal moves, title changes, compensation updates, bulk uploads, complex exceptions. Ensuring accuracy and timeliness across every change. Establish and run data-audit, reconciliation, cleansing, and issue-resolution routines; identify root causes and drive durable fixes. Build scalable operating procedures and controls that improve data quality ahead of

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Decagon’s Revenue Operations team is a multidisciplinary group of operators combining strategic thinking, analytical rigor, and high-velocity execution. Covering GTM-wide strategy, operations and analytics, we are proactive, data-driven partners to leadership – providing critical insights, driving operational efficiency, and getting things done. In this role, you will Operations & systems: own important day-to-day processes across GTM functions, including managing account and opportunity ownership, processing deals and renewals, driving reports and dashboard creation, operationalizing territories and more Data & analytics: monitor our CRM, records and dashboards and own various reporting for GTM leadership. Create, manipulate and analyze reports to derive data-driven insights Data quality & integrity: own the data quality of our internal systems by running regular audits and working with the team to drive long-term improvements Documentation and project management: create

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing We’re seeking a detail-oriented and results-driven Quality Engineer to support quality assurance and continuous improvement initiatives across Acushnet’s Custom Ball and Packaging Operations. In this role, you will be responsible for driving quality improvements, reducing process variation, and ensuring products consistently meet customer expectations and internal quality standards. You will partner closely with manufacturing, operations, engineering, and cross-functional teams to identify opportunities to reduce defects, customer returns, quality exceptions, logo overruns, and make-ups while supporting the achievement of established quality performance goals. You will analyze and report quality data through quality management systems and Statistical Process Control (SPC) methodologies, providing insights that drive operational improvements and informed decision-making. As an active participant in quality-focused teams, including Quality Steering Committee activities and Quality Initiative Program projects, you will help lead efforts focused on process optimization, cost reduction, and product quality enhancement. Additionally, you will support continuous improvement initiatives by conducting root cause analyses, implementing corrective actions, and driving sustainable process improvements across Custom and Packaging operations. The Quality Engineer will also assist with Change Notice reviews,

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Strategy & Analytics Internal Systems and SDC team aspires to supercharge the Internal Systems and SDC organization with analytics and insights. The Internal Systems and SDC org creates the engineering infrastructure and runs the internal operations that enables Stripe to succeed. We deliver data-driven insights that inform business decisions, drive measurable operational improvements, and guide strategy. We are not just data analysts, we are a mix of strategic business partners, deeply strategic and/or technical operational executors. We ensure timely, reliable, high-quality data for not just Internal Systems and SDC, but for stakeholders across Stripe. What you’ll do In this role, you’ll be the go-to expert for your business area. You’ll partner directly with leaders within the SDC and be their go-to for all things data, insights, and strategy. You’ll be hands-on and responsible for delivering critical insights, ensuring data driven decision making is at the core of what we do. You’ll partner with leadership to drive business strategy, planning, goal-setting and performance tracking. You may also scope and lead mission critical projects and execute on strategic initiatives. Responsibilities Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and intern

Integration Reliability Engineer, Technical Operations About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team APAC Payins TechOps is a newly formed team based in Singapore. Our charter is to improve the health and resilience of our payment acquiring volume, making it easier for Stripe to build and operate the integrations that support hundreds of billions of dollars in payments annually. Our team partners closely with payments and platform engineering teams to assess systems or processes that create high operational workloads, then develops durable solutions via code, tooling, data, and process improvements. We are responsible for the financial data quality of key systems at Stripe, ensuring that data is quarantined without impacting downstream systems while implementing the right changes upstream to prevent recurring issues. The team's work has a direct impact on Stripe's ability to expand into new markets and offer more sophisticated payment features to merchants. What you’ll do Responsibilities Scope and lead technical initiatives end-to-end: identify problems worth solving, propose the right solution approach, and deliver on that solution — not just execute on a pre-defined plan. Investigate problems in systems by tracing problems through Stripe’s stack. You’ll examine code, write SQL queries, read logs, and inspect data pipelines to understand system behavior, then make changes to address. Examine updates being made by Stripe’s financial partners to understand impact, and make the changes within Strip

Senior Internal Auditor BGS Vertical Lift (Quality Systems Specialist) Company: The Boeing Company Boeing Global Services (BGS) is looking for a Senior Internal Auditor BGS Vertical Lift (Quality Systems Specialist) to join their Vertical Lift Quality Team in Mesa, AZ. This position will focus on supporting Vertical Lift Quality organization. Position Responsibilities: · Create and maintain the site Internal Audit Schedule · Maintain the site Internal Audit Program per AS9100 requirements · Promotes a healthy Quality Management System (QMS) rooted in process-based management methodologies · Performs process risk assessments · Writes Internal Audit reports and documents process non-conformance · Support process owners with corrective action process requirements · Performs and oversees Internal Audits – conduct assessments of processes and practices for comparison to applicable standards and requirements. · Maintain Internal Audit monthly metrics/KPIs · Provide monthly Internal Audit performance to the DQMR · Identified as the Process Owner for the Internal Audit Program that resides in the local Quality Management System · Align CAPA process with company and AS9100 requirements for Corrective Actions · Recommend and implement changes to the existing Internal Audit Program · Assist our business unit across Vertical Lift sites with continuous improvements and or lean projects · Use data for analysis trends and opportunities for improvement · Use experience and knowledge relative to all methods of Root Cause Corrective Actions, e.g., 5-Why, Fish bone, Boeing Problem Solving Model (BPSM)</

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. As a data engineering intern at Gallup, you’ll help build and modernize the data tools, infrastructure and pipelines that enable teams to work with data at scale. Alongside experienced technical leaders, you’ll put your Python and SQL skills to work on meaningful projects while learning best practices, experimenting with modern tools and seeing firsthand how strong data engineering supports better decisions. What You’ll Do During your internship, you will: Build foundational data tooling and infrastructure designed to scale as the volume and frequency of data grow Help modernize legacy data pipelines using Python, SQL and Gallup’s evolving data platform Troubleshoot data quality issues in large, imperfect datasets Apply data engineering practices to move, transform and validate data across systems Help build reliable, efficient data workflows Learn from senior technical leaders who will mentor you on engineering practices, tools and approaches Collaborate with engineers and interact directly with stakeholders to understand needs and deliver useful solutions Use AI-enabled development tools to improve the quality and efficiency of your work What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, data engineering, information systems, statistics, math or a related field required Classroom or work experience writing SQL required, including joins, aggregations and troubleshooting query performance Classroom or work experience coding in Python for data processing, scripting or automation required Working knowledge of relational database and data modeling concepts, including schema design and dimensional or star-schema modeling, required Comfort using AI tools such as Claude, Claude Code or GitHub Copilot to support high-quality, efficient work required Understanding of ETL/ELT concepts and how data

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for Data Engineering interns who are excited to help scale the systems and pipelines that power decision-making at Figma. As an intern on our data team, you will partner with engineers and analysts to design and build reliable datasets, ensure data quality, and make Figma's data more accessible across the company. This internship will be based out of our San Francisco or New York Hub. What you'll do at Figma: Build, test, and document data pipelines that bring product or business data into Figma’s data warehouse Help design foundational datasets that are trusted, well-documented, and easy to use Optimize pipelines for performance and scalability as Figma grows Partner with cross-functional teammates to understand data needs and deliver solutions Contribute to the tools and practices that make working with data at Figma easier With support from a manager and mentor, you’ll own a scoped project from problem definition through implementation, testing, documentation, and sharing the results. Some projects you could work on: Develop new ETL jobs to integrate product or business data into our warehouse Improve the performance and reliability of core pipelines Build reusable datasets that support experimentation, product and business analytics, or cross-functional stakeholders Document and simplify complex data workflows for broader use We'd love to hear from you if you have: Experience coding in Python or a similar language and writing SQL queries Experience building or working with dat